Source:
Proceedings of the 1998 IEEE World Congress on Computational Intelligence, IEEE Press, Anchorage, Alaska, USA, p.130--135 (1998)
Keywords:
genetic algorithms;
genetic programming
Abstract:
The problem of analog circuit design is a difficult
problem that is generally viewed as requiring human
intelligence to solve. Considerable progress has been
made in automating the design of certain categories of
purely digital circuits; however, the design of analog
electrical circuits and mixed analog-digital circuits
has not proved to be as amenable to automation. When
critical analog circuits are required for a project,
skilled and highly trained experts are necessary.
Previous work on applying genetic programming to the
design of analog circuits has proved to be successful
at evolving a wide variety of circuits, including
filters, amplifiers, and computational circuits;
however, previous approaches have required the
specification of an appropriate embryonic circuit. This
paper explores a method to eliminate even this small
amount of problem specific knowledge, and, in addition,
proves that the representation used is capable of
producing all circuits.